Python Object Oriented Programming Master Class

Learn OOP in Python fast—Understand classes, objects, encapsulation, inheritance, and method overriding.

What you’ll learn
Understand the core concepts of Object-Oriented Programming (OOP) in Python
Create and use classes and objects effectively
Define and manage instance attributes and methods
Use the __init__() constructor to initialize objects
Differentiate between class attributes and instance attributes
Use the self keyword to reference object-specific data
Apply encapsulation to protect internal class data
Work with public, protected, and private attributes
Implement getter and setter methods manually and using property decorators
Build inheritance hierarchies and reuse parent class functionality
Override methods in child classes to customize behavior
Use the super() function to access and extend parent methods
Understand and apply polymorphism using method overriding
Write cleaner, reusable, and modular Python code using OOP best practices
Develop a solid foundation for more advanced Python programming and frameworks

Requirements
Basic knowledge of Python (variables, functions, loops, and conditionals)
A computer with Python installed (any version 3.x is fine)
A code editor or IDE like VS Code, PyCharm, or even an online Python interpreter
No prior experience with Object-Oriented Programming required

Description
Unlock the power of Object-Oriented Programming (OOP) in Python with this fast-paced, beginner-friendly course designed to take you from procedural thinking to clean, modular, and reusable code in just two hours.Whether you’re a new Python learner or someone looking to solidify your understanding of OOP, this course offers clear explanations, real-world analogies, and hands-on coding examples to help you understand and apply key OOP principles: classes, objects, attributes, methods, encapsulation, inheritance, and polymorphism.You’ll start by learning why OOP matters, and how it compares to procedural programming. Then we’ll break down the core building blocks — creating classes, defining instance and class attributes, using constructors like __init__(), and writing instance methods. From there, you’ll explore access control (public, protected, private attributes), use getter and setter methods, and apply property decorators to manage data access elegantly.In the second half of the course, you’ll dive into inheritance, method overriding, and the power of polymorphism. With the help of the super() function, you’ll see how child classes can extend and enhance the behavior of parent classes.By the end of the course, you’ll be able to write professional, object-oriented Python code — whether you’re building a personal project, contributing to a team codebase, or preparing for interviews.No prior OOP experience is required. Just bring your Python basics, and let’s level up your coding skills — fast!

Overview
Section 1: Introduction to oop

Lecture 1 Course Introduction

Lecture 2 What is Object Oriented Programming

Lecture 3 RealWorld Anology

Lecture 4 Procedural Programming vs Object-Oriented Programming

Lecture 5 Python and OOP Built-in Support

Section 2: Classes and Objects

Lecture 6 What is a Class

Lecture 7 Using the ___init__ Constructor

Lecture 8 Adding Methods to the class

Section 3: Working with Methods and Attributes

Lecture 9 Instance Methods

Lecture 10 Self Keyword

Lecture 11 Class Attributes VS Instance Attributes

Lecture 12 Modifying Attributes

Lecture 13 Bank account mini project

Section 4: Encapsulation

Lecture 14 Introduction to Encapsulation

Lecture 15 Using Encapsulation in BankAccount

Lecture 16 Getter and Setter Methods

Section 5: Inheritance and Polymorphism

Lecture 17 What is Inheritance

Lecture 18 Overriding Some Methods

Lecture 19 The Super Keywords

Lecture 20 Polymorphism

Section 6: final Project | Task Management System

Lecture 21 Project Overview – Task Management System

Lecture 22 Creating Project Structure – Task Management System

Lecture 23 Creating the Task Class – Task Management System

Lecture 24 Creating the user Class and Handling Files – Task management

Lecture 25 Creating Manager Class – Task management system

Lecture 26 Creating the Main Method and Executing the program

Beginner Python developers who want to learn Object-Oriented Programming (OOP) the practical way,Computer science students who need a fast, clear understanding of OOP concepts for assignments or exams,Self-taught coders looking to transition from procedural to object-oriented thinking,Developers preparing for coding interviews where OOP knowledge is frequently tested,Anyone looking to level up their Python skills with real-world examples of classes, inheritance, and encapsulation,Teachers or instructors who want a quick reference or teaching aid for OOP in Python,Professionals switching to Python from other languages and seeking a concise refresher on Python OOP syntax and principles

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